1 code implementation • 14 Dec 2023 • Fritz Bayer, Drago Plecko, Niko Beerenwinkel, Jack Kuipers
Our approach enables the specification of the causal fairness metrics that should be minimised.
1 code implementation • 16 Oct 2023 • Paweł Czyż, Frederic Grabowski, Julia E. Vogt, Niko Beerenwinkel, Alexander Marx
The pointwise mutual information profile, or simply profile, is the distribution of pointwise mutual information for a given pair of random variables.
no code implementations • 18 Aug 2023 • Pelin Icer Baykal, Paweł P. Łabaj, Florian Markowetz, Lynn M. Schriml, Daniel J. Stekhoven, Serghei Mangul, Niko Beerenwinkel
In biomedical research, validation of a new scientific discovery is tied to the reproducibility of its experimental results.
2 code implementations • NeurIPS 2023 • Paweł Czyż, Frederic Grabowski, Julia E. Vogt, Niko Beerenwinkel, Alexander Marx
Mutual information is a general statistical dependency measure which has found applications in representation learning, causality, domain generalization and computational biology.
2 code implementations • 9 Dec 2022 • Aurelien Pelissier, Miroslav Phan, Niko Beerenwinkel, Maria Rodriguez Martinez
While analytic solutions often cannot be derived, existing simulation frameworks can generate stochastic trajectories compatible with the dynamical laws underlying the random phenomena.
1 code implementation • 16 Dec 2021 • Fritz M. Bayer, Giusi Moffa, Niko Beerenwinkel, Jack Kuipers
Inference of the marginal probability distribution is defined as the calculation of the probability of a subset of the variables and is relevant for handling missing data and hidden variables.
no code implementations • 2 May 2021 • Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel
The package includes tools to search for a maximum a posteriori (MAP) graph and to sample graphs from the posterior distribution given the data.